In an article for The Wall Street Journal, Jo Craven McGinty highlights a study by researchers from MIT and Harvard that calculated the damage caused by Volkwagen cheating on emissions standards tests. “We estimated the vehicles affected were driven 40.5 billion kilometers from 2008,” explains Prof. Steven Barrett.
Chris Sweeney writes for Boston Magazine that MIT researchers were part of a team of astronomers that identified the largest galaxy cluster from the early universe. Sweeney writes that researchers “will continue scouring the data in search of additional galaxies while looking for clues to how the universe formed.”
MIT researchers have detected the largest galaxy cluster that amassed in the early universe, writes Laura Crimaldi for The Boston Globe. “It’s the most massive cluster to assemble in the first 4 billion years of the universe,” explains Prof. Michael McDonald. “It’s sort of like the first civilization to pop up.”
Wired reporter Sarah Zhang reports on how MIT researchers developed a new computer model that they used to examine the public health impacts of Volkswagen cheating on emissions standards tests. Zhang explains that the researchers’ model “allows scientists to estimate the impact of extra NOx in any 50 km by 50 km square of the world.”
A new study by researchers from MIT and Harvard shows that pollution from Volkswagen vehicles could lead to premature deaths in the U.S., reports Tom Randall for Bloomberg News. “Volkswagen's deception allowed some 482,000 U.S. diesel cars to pass emissions tests even as they polluted as much as 40 times the legal limit,” writes Randall.
Justin Worland of TIME reports on a new MIT study examining the public health impacts of Volkswagen’s software designed to evade emissions standards. “The emissions problem will also add nearly half a billion dollars in social costs,” writes Worland.
Alexandra Ossola reports for Popular Science that MIT researchers have determined that by cheating on emissions tests, Volkswagen could cause 60 premature deaths in the U.S. “The researchers estimated the impact on public health…by calculating the effects of more fine particulates, ozone, and nitrous oxide,” writes Ossola.
Researchers at MIT and Harvard have determined that emissions resulting from Volkswagen’s rigged inspections will cause 60 premature deaths in the U.S., reports Robert Preidt for U.S. News & World Report. The researchers found that “if VW recalls every affected vehicle by the end of 2016, more than 130 additional deaths may be prevented,” writes Preidt.
CNBC reporter Robert Ferris writes about a study by researchers from MIT and Harvard that examines the impacts of Volkswagen cheating on emissions tests. “Volkswagen's cars have emitted 40 times the amount of noxious nitrogen oxide (NOx) than the limit proscribed by the U.S. Environmental Protection Agency,” Ferris explains.
Nina Godlewski writes for Boston.com that a new study co-authored by MIT researchers found that approximately 60 people in the U.S. will die prematurely due to Volkswagen’s cheating on emissions tests. Godlewski explains that, “if the automaker fails to recall all of the affected vehicles by the end of 2016, more deaths may occur.”
Atlantic reporter Robinson Meyer speaks with Prof. Steven Barrett about his research showing that 140 people will die prematurely if Volkswagen vehicles outfitted with emissions-cheating devices are not recalled. Barrett says that if the cars are returned, “most of those 140 deaths would be averted.”
MIT researchers have created an algorithm that outperforms humans when searching for patterns in data sets, reports Rachel Feltman for The Washington Post. The algorithm uses “raw datasets to make models predicting things such as when a student would be most at risk of dropping an online course.”
Seung Lee writes for Newsweek that MIT researchers have developed an algorithm that can outperform humans in finding patterns in data sets. The system takes “two to 12 hours for what a human could only do over the course of several months.”
Dan Morrell of The Boston Globe writes about Humanyze, a company founded by visiting scientist Ben Waber, that helps companies gather data about their employees and workspaces to improve efficiency. “Humanyze was founded on the idea that smart management decisions require hundreds of (data-points), if not millions,” Morrell explains.
MIT researchers have developed a new system that can help identify patterns in data sets, reports Tomas Morzon for UPI. The researchers explained that the new system could be a “crucial asset in finding what components of a data set should be analyzed in order to draw conclusions.”